I think the rate of adoption in the enterprise will be faster than people realize, and we will break the convention that enterprises are slow adopters of technology.

As AI technology matures, enterprises are increasingly willing to trust these systems with their data, leading to a greater adoption of AI solutions.

In 2025, I envision a lot of business adoption of agents, automating repetitive tasks and scaling up operations that were previously too expensive. This could lead to significant efficiency improvements.

Enterprises are already accustomed to the value of point solutions, making them more likely to invest in startups offering vertical AI agents.

Consumer adoption of technology has driven enterprises to modernize their systems, as employees compare outdated IT systems to the advanced tools they use in their personal lives.

AI agents are being developed to automate workflows, such as filling out construction permit applications, but they still face skepticism regarding their reliability in enterprise settings.

To gain adoption in enterprise settings, applications must be tailored to meet specific needs, including features like single sign-on.

Task-specific AI agents are crucial for enterprise adoption, as they can handle specific tasks effectively without replacing human accountability.

Successful AI implementations in enterprises involve collaboration between business users and IT, ensuring that both the technical and operational aspects are addressed effectively.